Artificial Intelligence Data Engineer
Tasks
- Build MLOps pipelines for CI CD and lifecycle management
- Deploy AI models on Azure
- Ensure secure governed and compliant AI change management
- Implement AI deployment telemetry and incident response
- Manage model upgrades with version control rollback
- Monitor model performance drift and availability
- Optimize inference infrastructure performance and cost
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Foundry | AIOps | App Service | Application Insights | Automation Pipelines | Azure AI | Azure AI Foundry | Azure App | Azure App Service | Azure Application Insights | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | Azure Machine Learning | Azure Managed | Azure Managed Identity | Azure Synapse | Azure Synapse Analytics | B testing | Continuous Deployment | Continuous integration | Cosmos DB | Data Lake Storage | Fine Tuning | GitHub Actions | Human-in-the-loop | Inference Optimization | Instruction Tuning | Key Vault | Log Analytics | MLOps | Machine Learning | Managed Identity | Managed Rollouts | Model Evaluation | Model Observability | Monitoring | Prompt Flow | RLHF | Rollback | Synapse Analytics | Telemetry | The Loop
Education
Roles
AI | AI Engineer | Engineer | MLOps Engineer
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